We build the software, automate the workflows and drive the traffic.
Custom software. AI automation. SEO that ranks. Delivered by one engineering team with offices across the UAE, Singapore and India.
Based in Dubai, Singapore and India. We reply to every enquiry within one working day.
3 offices
Dubai · Singapore · India
Fixed-price
estimates before code starts
Senior
engineers only, no juniors
100%
source code ownership
The stack behind every project we ship
What we do
From the first line of code to the first page of Google
Strategy and execution under one roof — so the software, the automation and the campaigns that drive traffic to it are all built to work together from day one.
AI that answers from your own data
Turn the documents you already own into answers
Most of what a business needs to know is already written down — in contracts, tickets, wikis and reports nobody has time to read. We build a retrieval layer on top of the data you already hold, so your team gets answers with the source attached instead of guessing.
- Answers your team can act on, with the source document and passage attached to every claim
- Connected to the systems that already hold the material — wikis, ticket history, contracts, databases — and re-indexed as they change
- Your access rules carried through, so nobody can retrieve a document they could not already open
- A graded question set from the first week, so accuracy is measured when a model or a prompt changes, not assumed
If the answer is not in your material, the honest response is to say so. We build that in deliberately — a system that guesses once is a system nobody trusts twice.
We connect to the systems that already hold your material, index it with permissions intact, and prove accuracy against a question set your own people grade — before anything goes near production. Talk through your data
Where teams put it to work
Support and service desk
Agents answer from product documentation, policy and past tickets in one place, and send a reply with the source attached instead of hunting across five tabs.
Internal knowledge and onboarding
New joiners ask the company's own runbooks and wikis rather than interrupting the one person who remembers. The knowledge stops living in a handful of heads.
Bids and proposals
Past proposals, security questionnaires and pricing sheets become searchable, so a bid team reuses what has already been answered instead of rewriting the paragraph from scratch.
Contracts, policy and compliance
What a clause, a regulation or an internal policy actually says, with the passage cited so a reviewer can check it — the case where a confidently wrong answer costs the most.
AI that acts in your systems
From answering questions to doing the work
Retrieval answers questions from your documents. MCP acts in your systems. Most teams end up wanting both.
Retrieval tells your team what the contract says. MCP lets an assistant act on it — look up the account, raise the order, update the record — in the system of record itself, and as the person asking. We design the server, scope its permissions, and roll it out to the clients your team already uses.
- It acts, it doesn't just answer
- Your systems are exposed as explicit, typed operations, so the assistant calls a real API instead of guessing at a screen. Reads and writes both — with a person approving anything that changes data.
- Build once, works everywhere
- MCP is an open protocol. One server serves Claude, the IDE assistants and your own agents, so supporting a new client is a configuration change rather than another integration project.
- Safe by construction
- Every call carries the caller's identity, so an assistant can only reach what the person using it could already reach — and you get a log of everything it did.
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";import { z } from "zod"; const server = new McpServer({ name: "algonex-orders", version: "1.0.0" }); server.registerTool( "lookup_order", { title: "Look up order", description: "Fetch a single order by its reference.", inputSchema: { orderId: z.string().describe("Order reference, e.g. ORD-4821"), }, }, // The tool runs as the caller. It can never return an order that the // person asking could not already open in the app themselves. async ({ orderId }, { authInfo }) => { const order = await orders.findForUser(authInfo.userId, orderId); if (!order) { return { content: [{ type: "text", text: `Order ${orderId} not found.` }], isError: true, }; } return { content: [{ type: "text", text: JSON.stringify(order) }] }; },); await server.connect(new StdioServerTransport());A real tool definition — the same shape we ship to production.
What teams point it at
Customer and order lookup
Support and ops staff ask for an order, a subscription or a shipment, and the assistant reads the system of record — not a stale export, not a screenshot pasted into chat.
Reporting on demand
“What did revenue do last week by region”, answered against the warehouse itself instead of joining the back of the BI request queue.
Back-office actions
Not only reading. Raise the invoice, update the CRM record, schedule the job — with a person approving anything that writes.
Engineering and internal tooling
An assistant that can query staging, read a log, check a deploy or open a ticket. Usually the fastest thing to land, because the audience is your own engineers.
What you get
- The server
- Your systems as typed tools, in TypeScript or Python, running in your own infrastructure.
- Auth and scoping
- Identity carried through every call, with the tool surface limited to what each role is allowed to do.
- Client rollout
- Configured and shipped to Claude, to the IDE assistants your team uses, or to your own agents.
- Handover
- The repository, the tests and a runbook, owned by you outright.
SEO & digital marketing
Rank for the searches that bring in business
Most SEO agencies optimise for traffic. We optimise for revenue — starting with the keywords your buyers actually use, and building the technical foundation that lets good content rank. Engineering and marketing in the same team means no gap between strategy and execution.
Your business
yourdomain.com
Competitor A
competitor-a.com
Competitor B
competitor-b.com
Competitor C
competitor-c.com
Rankings built to last — not to game
- Rankings that hold — built on technical foundations, not tricks that break on the next algorithm update
- Content that converts, not just content that ranks — mapped to buyer intent at every stage
- Full attribution from first click to closed deal, so you know which campaigns are worth scaling
- Paid and organic working together, not competing for the same budget
What we cover
Technical SEO audit
We crawl your site the way Google does — finding crawl errors, duplicate content, slow pages and broken structured data before they cost you rankings.
On-page optimisation
Title tags, meta descriptions, heading hierarchy, internal linking and schema markup — every signal that tells a search engine what a page is actually about.
Link building & authority
Earned links from relevant, high-authority domains. No link farms, no PBNs — the kind of backlink profile that survives algorithm updates.
Content strategy
Keyword research mapped to buyer intent, then turned into content that ranks and converts — not filler articles written for word count.
Analytics & reporting
GA4, Search Console and rank tracking wired together so you can see which pages drive leads, not just which ones get traffic.
Paid search (PPC)
Google Ads and LinkedIn Ads campaigns built around the same keyword research as the organic work — so paid and organic reinforce each other.
Why Algonex
Four reasons growing businesses choose Algonex
The honest answer to the question every buyer asks before they pick up the phone.
Software, AI and SEO under one roof
When the team that builds your software also runs your AI automation and your SEO, the three compound. Your site is faster because engineers wrote it. Your content ranks because the same team handles the structured data. Your AI connects to the same codebase. No briefing documents between disciplines.
The person who scopes it builds it
No account managers, no project handoffs, no junior developers doing the work a senior sold. The engineer who estimates your project is the engineer who writes the code.
Fixed estimates before anyone writes code
You get a written scope and a fixed price before the engagement starts. If our estimate is wrong, that is our problem — not a change request on your invoice.
You own everything, outright
Source code, infrastructure, documentation — yours from the first commit. No proprietary runtime, no platform lock-in, no ongoing licence fee to keep the lights on.
How we work
From first conversation to live system — four phases, no surprises
Each phase ends with a decision point. If the prototype does not earn the next phase, we say so — a cheap outcome, and a far better one than a year of sunk cost.
- 01
Discover
1–2 weeksWe map the workflow, the systems that hold the data, and the constraints that are actually non-negotiable. You get a written scope and a fixed estimate before anyone writes code.
- 02
Prototype
2–4 weeksA narrow slice, running against your real data. Enough to prove the approach works — and cheap enough to throw away if it does not.
- 03
Harden
4–10 weeksTests, evaluation sets, access control, error handling and CI. This is the phase most AI projects skip, and it is the reason most of them never reach production.
- 04
Operate
OngoingMonitoring, cost tracking and iteration. We hand over documentation and infrastructure you own outright — including the option to run it without us.
Engineering principles
Built right from the start — every time, on every project
Types, evaluation, telemetry and access control are cheap to design in and painful to add later. We build them in on day one — not as optional extras, not after the first incident.
Typed end to end
One schema from the database to the API to the browser. If a contract changes, the build fails before your users do.
Evaluated, not guessed
Every retrieval system ships with a graded question set. We can tell you what accuracy changed when a prompt or a model changed.
Observable by default
Structured logs, traces and cost telemetry go in on day one — not after the first production incident forces the issue.
Least privilege
Tools and retrievers inherit the caller's permissions. An assistant can never read a document the person asking could not open themselves.
About Algonex
Senior engineers. No account managers. No handoffs.
Algonex Technologies is part of the Nexa Group of Companies.
The person who scopes your project is the person who builds it. We are a focused engineering studio with offices in Dubai, Singapore and India — and we take on work we are confident we can deliver well.
We work deliberately in a narrow band: modern web platforms, and the retrieval and tool-use layers that let language models act on real business data. That focus means the systems we build get the parts that are hard to retrofit — permissions, evaluation, observability, cost control — designed in from the start.
Senior engineers only
The person who scopes your project is the person who writes the code. Nothing is handed down a bench.
You own everything
Source, infrastructure and documentation are yours from the first commit. No proprietary runtime, no lock-in.
Honest about what fits
If a language model is the wrong tool for your problem, we will tell you that and scope the right solution instead.
Offices in
Dubai, UAESingaporeIndiaReady when you are. Pick where to start.
One conversation is all it takes. Tell us the problem and we will come back with an honest read on the approach, the timeline and the cost.
Prefer a quick chat? Message us on WhatsApp — we reply within one working day.